Bertrand Thirion is head of the Parietal team (Inria Saclay - Île-de-France and CEA) and . After a thesis at the Inria Sophia-Antipolis center under the direction of Olivier Faugeras, then a postdoc at the CEA in Orsay, he participated in the creation of the Neurospin research center (CEA) where he created the Parietal team. His research focuses on statistical modeling and machine learning applied to brain imaging data. He is the author of more than 200 articles and contributes to the animation of open-source software projects in Python (scikit-learn, nilearn).
Christine Balagué is Professor and Holder of the Chair of Social Networks and Connected Objects at IMT - Télécom Ecole de Mangement, and was Vice-President of the Conseil National du Numérique from 2013 to 2015. Her research focuses on the modeling of connected individuals, especially on social networks and with connected objects, and the ethics of technologies. She is also a member of the CERNA (Ethics Committee for Allistène Digital Research) and the DATAIA Institute. As VP of the Conseil National du Numérique, she participated in various works submitted to the French government on the major issues of digital (Neutrality of the Net, Neutrality of platforms, E-inclusion, E-education, E-health, national consultation) . She is also the author of many books on the development of the Internet in France and on social networks. Holder of the accreditation to supervise research (HDR), Christine Balagué is a doctorate in Management Sciences, graduated from ESSEC and a Master of Econometrics at ENSAE.
Alain Denise is a professor at Paris-Sud University. His field of research is bioinformatics, including in silico genome analysis and combinatorial algorithmic sequences and biological structures. He works in two laboratories of the Paris-Sud University and the CNRS: the LRI (Laboratory of Research in Computer Science, where he is responsible for the Bioinformatics team) and the I2BC (Institute of Integrative Biology of the Cell).
Frédéric Pascal is a full Professor in the L2S laboratory at CentraleSupélec. From Jan. 2017, he is the head of the “Signals and Statistics” group of L2S. He is also the coordinator of the data science activities at CentraleSupélec and the chair holder of the Givaudan chair on data sciences. From Sept. 2017, he is in the Executive Committee of the DATAIA institute as the Program Coordinator. From 2015 to 2017, Frederic Pascal was the Chair of the EURASIP SAT in Theoretical and Methodological Trends in Signal Processing (TMTSP) and he is a member of the IEEE Signal Processing Society SAM technical committee (Jan. 2015-present). Frederic Pascal serves as an Associate Editor for the IEEE Transactions on Signal Processing (2015-2018), for the EURASIP Journal on Advances in Signal Processing (2015-present) and for Elsevier Signal Processing (2018-present). His research interests contain estimation, detection and classification for statistical signal processing and applications in radar and image processing. He is the author / coauthor of more than one hundred papers in the top journals and conferences in Signal Processing, Image Processing and Statistics.
Dr. Jean-Noël Patillon is a graduate of Supélec Engineering School and holds a PhD degree in Solid State Physics from the Solid State Physics Lab of University Paris XI. From 1984 to 1996, he joins the LEP (Laboratoire d'Electronique Philips), and becomes the Optoelectronics group leader. In 1996, he joins Motorola Labs Paris and heads the "Broadband System and Technology » and « Molecular Electronics Research » labs , which address the fields of short range systems (WLAN, WPAN) and heterogeneous network, cognitive radio and SDR. He’s involved in various projects such as @HOM, Broadway, UCAN, WINNER, PULSERS, FIREWORKS, E2R/E2RII, E3.
In January 2009, he joins the French Alternative Energies and Atomic Energy Commission (CEA) and becomes the head of the CEA List institute’s « Communication systems » lab, working on E2E and M2M communication systems and solution. He contributes to the setting up of the Nano-INNOV operation and the SystemX Technological Research Institute. He is appointed scientific director of the CEA List and assistant to the director of the CEA List Carnot institute in 2013.
He is Acting Director of the CEA List Institute since September 2018.
Michèle Sebag has explored multiple approaches to AI. Graduated from the ENS, agrégé of mathematics, she began her professional career in the industry at Thomson before creating an AI consulting start-up. She then joined the CNRS, first at the Solid State Mechanics Laboratory at École polytechnique, then at Paris-Sud University at the Computer Research Laboratory. Among the feats of his teams: the development of an algorithm capable of beating human players in the game of go in 2009, nearly seven years before the AlphaGo DeepMind. Today, she works in particular on causal modeling, which she wants to use to reduce the biases of machine learning. Introducing causality into algorithms would, in particular, make the results of machine learning more explicable.
Alexandra Bensamoun is Professor of private law and criminal sciences (University of Rennes 1 - Institute of the West: Law and Europe IODE, University Paris-Sud / Paris-Saclay - Center for studies and research in immaterial law CERDI ), IP / IT specialist. Appointed qualified personality at the Higher Council of Literary and Artistic Property (CSPLA), she conducted for the Ministry of Culture several reports, for example on the status of technical intermediaries of the Internet and the right of communication to the public. In charge of mission at the DATAIA Institute's board, she is very involved in the reflection and scientific research related to AI and has written several contributions on its regulation, particularly in terms of responsibility and ethics. She also co-chaired the "Legal Issues" section of the #FranceIA report (at the request of the Prime Minister, 2017).
Florence d'Alché-Buc is a professor at Télécom ParisTech since 2014. Former student of Télécom ParisTech, she has supported her PhD at Université Paris-Sud on neural model learning. After two years at the Philips Electronics Laboratory, she held the positions of Senior Lecturer at the Pierre and Marie Curie University and then Professor at the University of Evry. She created and led a team in Learning and Bioinformatics and was the Assistant Director of the IBISC Laboratory. She has been responsible for several years of the challenges program of the European network PASCAL. She is now scientific leader of the laboratory of excellence in STIC (labEx DigiCosme) of the Paris-Saclay campus. His research interests include statistical learning, network inference, structured prediction and dynamic system modeling with different applications including computational biology and medicine.
Professor at the Paris-Sorbonne University and researcher at the Laboratory of Computer Science for Mechanics and Engineering Sciences (Limsi) of the CNRS, Laurence Devillers leads the research team Affective Dimensions and Social Dimensions in Speech Interactions. Her areas of research focus on human-computer interaction, emotion detection, oral dialogue and emotional and interactive robotics. She has participated in several national (ANR Tecsan Armen, FUI Romeo, BPI Romeo2) and European projects (Rex Humaine, Chist-era Joker) on human-robot affective and social interactions. She also animates the pole on human-machine co-evolution within the framework of the Institute of the digital society. She has contributed to the drafting of the Robotics Research Ethics Report for the Allistene Alliances Research Commission on the Ethics of Research in Digital Science and Technology (Cerna).
Fabian M. Suchanek est professeur à l'Université Télécom Paris. Fabian a développé la base de connaissances YAGO, l'une des plus importantes bases de connaissances publiques à usage général. Cela lui a valu une mention honorable pour le prix de thèse SIGMOD et le prix Test of Time Award de The Web Conference (WWW 2018). Il s'intéresse à l'extraction d'information, au raisonnement automatisé et aux bases de connaissances. Fabian a publié environ 80 articles scientifiques, entre autres à l'ISWC, VLDB, SIGMOD, WWW, CIKM, ICDE et SIGIR, et son travail a été cité plus de 9000 fois.